Evidence map›Paper›PMID 37604876›Full record

ArticleScientific reports2023

Synergetic-PI controller based on genetic algorithm for DPC-PWM strategy of a multi-rotor wind power system.

Habib Benbouhenni, Hamza Gasmi, Ilhami Colak, Nicu Bizon, Phatiphat Thounthong

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
8.2field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 45 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 4 institutions in 4 countries.

Habib BenbouhenniDepartment of Electrical and Electronics Engineering, Faculty of Engineering and Architecture, Nisantasi University, 34481742, Istanbul, Turkey. habib.benbouenni@nisantasi.edu.tr.
Hamza GasmiLaboratoire Controle Avancé (LABCAV), Department of Electronics and Telecommunications, University of Guelma, BP 401, 24000, Guelma, Algeria.
Ilhami ColakDepartment of Electrical and Electronics Engineering, Faculty of Engineering and Architecture, Nisantasi University, 34481742, Istanbul, Turkey.
Nicu BizonFaculty of Electronics, Communication and Computers, University of Pitesti, 110040, Pitesti, Romania.
Phatiphat ThounthongFaculty of Technical Education, Renewable Energy Research Centre (RERC), King Mongkut's University of Technology North Bangkok, 1518 Pracharat 1 Road, Wongsawang, Bangsue, Bangkok, 10800, Thailand.
İstanbul Nişantaşı Üniversitesi · TRKing Mongkut's University of Technology North Bangkok · THUniversity of Bucharest · ROUniversity of Guelma · DZ

Funding

Phatiphat Thounthong KMUTNB-64-KNOW-20
6 · The paper itself

Abstract

This work designs a powerful new nonlinear control technique using synergetic control (SC), proportional-integral (PI) controller, and genetic algorithm (GA) for multi-rotor wind energy (MRWE) conversion systems, whereby an asynchronous generator (AG) is used to achieve optimal energy extraction. The direct power control (DPC) technique is used based on the proposed SC-PI-GA (SPI-GA) technique to control the AG-based MRWE system, where this new nonlinear control technique is used to achieve stable control characteristics under random changes in wind speed and to provide great robustness against modeling uncertainties. Moreover, the pulse width modulation (PWM) technique is used to control the AG inverter due to its simplicity and ease of implementation. In this proposed DPC-SPI-GA technique, we need to measure current and voltage to estimate the active power and the reactive power. Also, inner loops are not used in this proposed DPC-SPI-GA technique as is the case in the field-oriented control (FOC) technique, where the proposed system in this work is characterized by an integrated structure. Three different tests are proposed to study and verify the behavior of the designed DPC-SPI-GA strategy compared to the traditional DPC technique.

Identifiers

PMID37604876
PMCPMC10442353
OpenAlexW4386027942

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.